Results 71 to 80 of about 148,198 (270)

Ph-Net: Parallelepiped Microstructure Homogenization Via 3d Convolutional Neural Networks

SSRN Electronic Journal, 2022
Microstructures are attracting academic and industrial interests with the rapid development of additive manufacturing. The numerical homogenization method has been well studied for analyzing mechanical behaviors of microstructures; however, it is too time-consuming to be applied to online computing or applications requiring high-frequency calling, e.g.,
Hao Peng, An Liu, Jingcheng Huang, Lingxin Cao, Jikai Liu, Lin Lu   +5 more
openaire   +2 more sources

From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing

Advanced Functional Materials, EarlyView.
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov, Liyan Ming, Stanislav Sinogeikin, Erving Ximendes, Daniel Jaque, Riccardo Marin   +5 more
wiley   +1 more source

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

, 2019
The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to our ...
Fang, Linjing, Haft-Javaherian, Mohammad, Muse, Victorine, Nishimura, Nozomi, Sabuncu, Mert R., Schaffer, Chris B.   +5 more
core   +2 more sources

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

Learning SO(3) Equivariant Representations with Spherical CNNs

, 2018
We address the problem of 3D rotation equivariance in convolutional neural networks. 3D rotations have been a challenging nuisance in 3D classification tasks requiring higher capacity and extended data augmentation in order to tackle it. We model 3D data
A Frome, A Makadia, A Tatsuma, DM Healy, G Arfken, J Segman, JR Driscoll, MM Bronstein, S Dieleman, WP Thurston   +9 more
core   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Double Residual Network Recognition Method for Falling Abnormal Behavior

Jisuanji kexue yu tansuo, 2020
In the abnormal behavior monitoring, due to the complicated situation such as monitoring angles of view, human body postures and scenes, it is easy to cause vanishing gradient and over-fitting by directly adding 3D con-volutional neural network layers to
WANG Xinwen, XIE Linbo, PENG Li
doaj   +1 more source

Lung Nodule Classification Based on 3D Convolutional Neural Network

Journal of Harbin University of Science and Technology, 2021
In order to improve the classification accuracy of ground glass nodules that are difficult to segment and diagnose and at the same time，the VGG16 network structure has deep convolutional layers and many parameters，A 3D deep convolutional neural network ...
WANG Wei-bing, WANG Zhuo, XU Qian, SUN Hong   +3 more
doaj   +1 more source

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

Video Visual Relation Detection via 3D Convolutional Neural Network

IEEE Access, 2022
Video visual relation detection, which aims to detect the visual relations between objects in the form of relation triplet <subject, predicate, object> (e.g., “person-ride-bike”, “dog-toward-car”, etc.), is a ...
Mingcheng Qu, Jianxun Cui, Tonghua Su, Ganlin Deng, Wenkai Shao   +4 more
doaj   +1 more source